The evaluation on artificial neural networks (ANN) and multiple linear regressions (MLR) models over particulate matter (PM10) variability during haze and non-haze episodes: A decade case study
The comprehensives of particulate matter studies are needed in predicting future haze occurrences in Malaysia. This paper presents the application of Artificial Neural Networks (ANN) and Multiple Linear Regressions (MLR) coupled with sensitivity analysis (SA) in order to recognize the pollutant rela...
محفوظ في:
| المؤلفون الرئيسيون: | , , , , , , |
|---|---|
| التنسيق: | مقال |
| اللغة: | English English English |
| منشور في: |
Penerbit UTM Press
2019
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | http://irep.iium.edu.my/71660/9/71660_The%20evaluation%20on%20artificial%20neural%20networks%20%28ANN%29_mycite.pdf http://irep.iium.edu.my/71660/15/71660_The%20evaluation%20on%20artificial%20neural%20networks%20%28ANN%29%20and%20multiple%20linear%20regressions%20%28MLR%29%20models%20over%20particulate%20matter%20%28PM10%29%20variability%20during%20haze%20and%20non-haze%20episodes_WOS.pdf http://irep.iium.edu.my/71660/21/71660_The%20evaluation%20on%20artificial%20neural%20networks%20%28ANN%29.pdf http://irep.iium.edu.my/71660/ https://mjfas.utm.my/index.php/mjfas/article/view/1004/pdf |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
كن أول من يترك تعليقا!